Резюме под подозрением: AI против кандидатского фрода
Практический взгляд на построение антифрод-системы. Разберём, как языковые модели (LLM) могут использоваться для оценки правдивости информации в резюме и находить подозрительные паттерны.
Расскажем, как проходит внедрение и с какими сложностями сталкиваемся на примере реального кейса. Осветим архитектуру, метрики качества и баланс между автоматизацией и человеческой экспертизой.
Около 1000 сотрудников.
HR-аналитики, HR, LLM-разработчики, Team Lead, Python-разработчики.
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